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Offset 53, 18 lines modified | Offset 53, 18 lines modified | ||
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Offset 45, 18 lines modified | Offset 45, 18 lines modified | ||
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59 | ················{ | 59 | ················{ |
60 | ····················"ename":·"NameError", | 60 | ····················"ename":·"NameError", |
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87 | ················{ | 87 | ················{ |
88 | ····················"ename":·"ZeroDivisionError", | 88 | ····················"ename":·"ZeroDivisionError", |
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90 | ····················"output_type":·"error", | 90 | ····················"output_type":·"error", |
Offset 101, 18 lines modified | Offset 101, 18 lines modified | ||
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Offset 51, 18 lines modified | Offset 51, 18 lines modified | ||
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62 | ················} | 62 | ················} |
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66 | ················"\n", | 66 | ················"\n", |
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Offset 76, 18 lines modified | Offset 76, 18 lines modified | ||
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79 | ············"cell_type":·"code", | 79 | ············"cell_type":·"code", |
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Offset 110, 18 lines modified | Offset 110, 18 lines modified | ||
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124 | ················{ | 124 | ················{ |
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155 | ················{ | 155 | ················{ |
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373 | </div> | 373 | </div> |
374 | <div·class="nboutput·docutils·container"> | 374 | <div·class="nboutput·docutils·container"> |
375 | <div·class="prompt·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[5]: | 375 | <div·class="prompt·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[5]: |
376 | </pre></div> | 376 | </pre></div> |
377 | </div> | 377 | </div> |
378 | <div·class="output_area·docutils·container"> | 378 | <div·class="output_area·docutils·container"> |
379 | <div·class="highlight"><pre> | 379 | <div·class="highlight"><pre> |
380 | <matplotlib.image.AxesImage·at·0xffff4c | 380 | <matplotlib.image.AxesImage·at·0xffff4fc831d0> |
381 | </pre></div></div> | 381 | </pre></div></div> |
382 | </div> | 382 | </div> |
383 | <div·class="nboutput·nblast·docutils·container"> | 383 | <div·class="nboutput·nblast·docutils·container"> |
384 | <div·class="prompt·empty·docutils·container"> | 384 | <div·class="prompt·empty·docutils·container"> |
385 | </div> | 385 | </div> |
386 | <div·class="output_area·docutils·container"> | 386 | <div·class="output_area·docutils·container"> |
387 | <img·alt="../_images/gallery_cell-metadata_7_1.svg"·src="../_images/gallery_cell-metadata_7_1.svg"·/></div> | 387 | <img·alt="../_images/gallery_cell-metadata_7_1.svg"·src="../_images/gallery_cell-metadata_7_1.svg"·/></div> |
Offset 35, 15 lines modified | Offset 35, 15 lines modified | ||
35 | z·=·(1·-·x·/·2·+·x·**·5·+·y·**·3)·*·np.exp(-x·**·2·-·y·**·2) | 35 | z·=·(1·-·x·/·2·+·x·**·5·+·y·**·3)·*·np.exp(-x·**·2·-·y·**·2) |
36 | [4]: | 36 | [4]: |
37 | zmax·=·np.max(np.abs(z)) | 37 | zmax·=·np.max(np.abs(z)) |
38 | [5]: | 38 | [5]: |
39 | fig,·ax·=·plt.subplots(figsize=[5,·3.5]) | 39 | fig,·ax·=·plt.subplots(figsize=[5,·3.5]) |
40 | ax.imshow(z,·vmin=-zmax,·vmax=zmax) | 40 | ax.imshow(z,·vmin=-zmax,·vmax=zmax) |
41 | [5]: | 41 | [5]: |
42 | <matplotlib.image.AxesImage·at·0xffff4c | 42 | <matplotlib.image.AxesImage·at·0xffff4fc831d0> |
43 | [../_images/gallery_cell-metadata_7_1.svg] | 43 | [../_images/gallery_cell-metadata_7_1.svg] |
44 | ******·nbsphinx·****** | 44 | ******·nbsphinx·****** |
45 | ****·Navigation·**** | 45 | ****·Navigation·**** |
46 | ····*·Installation | 46 | ····*·Installation |
47 | ····*·Usage | 47 | ····*·Usage |
48 | ····*·Markdown_Cells | 48 | ····*·Markdown_Cells |
49 | ····*·Code_Cells | 49 | ····*·Code_Cells |
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51 | ················"import·numpy·as·np" | 51 | ················"import·numpy·as·np" |
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123 | ····················"tooltip":·"This·tooltip·message·was·defined·in·cell·metadata" | 123 | ····················"tooltip":·"This·tooltip·message·was·defined·in·cell·metadata" |
124 | ················} | 124 | ················} |
125 | ············}, | 125 | ············}, |
126 | ············"outputs":·[ | 126 | ············"outputs":·[ |
127 | ················{ | 127 | ················{ |
128 | ····················"data":·{ | 128 | ····················"data":·{ |
129 | ························"text/plain":·[ | 129 | ························"text/plain":·[ |
130 | ····························"<matplotlib.image.AxesImage·at·0xffff4c | 130 | ····························"<matplotlib.image.AxesImage·at·0xffff4fc831d0>" |
131 | ························] | 131 | ························] |
132 | ····················}, | 132 | ····················}, |
133 | ····················"execution_count":·5, | 133 | ····················"execution_count":·5, |
134 | ····················"metadata":·{}, | 134 | ····················"metadata":·{}, |
135 | ····················"output_type":·"execute_result" | 135 | ····················"output_type":·"execute_result" |
136 | ················}, | 136 | ················}, |
137 | ················{ | 137 | ················{ |
Offset 173, 28 lines modified | Offset 173, 28 lines modified | ||
173 | ····························"····<path·d=\"M·26.925·193.2·\n", | 173 | ····························"····<path·d=\"M·26.925·193.2·\n", |
174 | ····························"L·305.925·193.2·\n", | 174 | ····························"L·305.925·193.2·\n", |
175 | ····························"L·305.925·7.2·\n", | 175 | ····························"L·305.925·7.2·\n", |
176 | ····························"L·26.925·7.2·\n", | 176 | ····························"L·26.925·7.2·\n", |
177 | ····························"z\n", | 177 | ····························"z\n", |
178 | ····························"\"·style=\"fill:·#ffffff\"/>\n", | 178 | ····························"\"·style=\"fill:·#ffffff\"/>\n", |
179 | ····························"···</g>\n", | 179 | ····························"···</g>\n", |
180 | ····························"···<g·clip-path=\"url(#p | 180 | ····························"···<g·clip-path=\"url(#p9793bf74b1)\">\n", |
181 | ····························"····<image·xlink:href=\"data:image/png;base64,\n", | 181 | ····························"····<image·xlink:href=\"data:image/png;base64,\n", |
182 | 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\"·id=\"image 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183 | ····························"···</g>\n", | 183 | ····························"···</g>\n", |
184 | ····························"···<g·id=\"matplotlib.axis_1\">\n", | 184 | ····························"···<g·id=\"matplotlib.axis_1\">\n", |
185 | ····························"····<g·id=\"xtick_1\">\n", | 185 | ····························"····<g·id=\"xtick_1\">\n", |
186 | ····························"·····<g·id=\"line2d_1\">\n", | 186 | ····························"·····<g·id=\"line2d_1\">\n", |
187 | ····························"······<defs>\n", | 187 | ····························"······<defs>\n", |
188 | ····························"·······<path·id=\"m | 188 | ····························"·······<path·id=\"m49cdea776c\"·d=\"M·0·0·\n", |
189 | ····························"L·0·3.5·\n", | 189 | ····························"L·0·3.5·\n", |
190 | ····························"\"·style=\"stroke:·#000000;·stroke-width:·0.8\"/>\n", | 190 | ····························"\"·style=\"stroke:·#000000;·stroke-width:·0.8\"/>\n", |
191 | ····························"······</defs>\n", | 191 | ····························"······</defs>\n", |
192 | ····························"······<g>\n", | 192 | ····························"······<g>\n", |
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194 | ····························"······</g>\n", | 194 | ····························"······</g>\n", |
195 | ····························"·····</g>\n", | 195 | ····························"·····</g>\n", |
196 | ····························"·····<g·id=\"text_1\">\n", | 196 | ····························"·····<g·id=\"text_1\">\n", |
197 | ····························"······<!--·0·-->\n", | 197 | ····························"······<!--·0·-->\n", |
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199 | ····························"·······<defs>\n", | 199 | ····························"·······<defs>\n", |
200 | ····························"········<path·id=\"DejaVuSans-30\"·d=\"M·2034·4250·\n", | 200 | ····························"········<path·id=\"DejaVuSans-30\"·d=\"M·2034·4250·\n", |
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338 | </div> | 338 | </div> |
339 | <div·class="nboutput·docutils·container"> | 339 | <div·class="nboutput·docutils·container"> |
340 | <div·class="prompt·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[2]: | 340 | <div·class="prompt·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[2]: |
341 | </pre></div> | 341 | </pre></div> |
342 | </div> | 342 | </div> |
343 | <div·class="output_area·docutils·container"> | 343 | <div·class="output_area·docutils·container"> |
344 | <div·class="highlight"><pre> | 344 | <div·class="highlight"><pre> |
345 | [<matplotlib.lines.Line2D·at·0xffff | 345 | [<matplotlib.lines.Line2D·at·0xffff3e3706d0>] |
346 | </pre></div></div> | 346 | </pre></div></div> |
347 | </div> | 347 | </div> |
348 | <div·class="nboutput·nblast·docutils·container"> | 348 | <div·class="nboutput·nblast·docutils·container"> |
349 | <div·class="prompt·empty·docutils·container"> | 349 | <div·class="prompt·empty·docutils·container"> |
350 | </div> | 350 | </div> |
351 | <div·class="output_area·docutils·container"> | 351 | <div·class="output_area·docutils·container"> |
352 | <img·alt="../_images/gallery_cell-tag_4_1.svg"·src="../_images/gallery_cell-tag_4_1.svg"·/></div> | 352 | <img·alt="../_images/gallery_cell-tag_4_1.svg"·src="../_images/gallery_cell-tag_4_1.svg"·/></div> |
Offset 20, 15 lines modified | Offset 20, 15 lines modified | ||
20 | [1]: | 20 | [1]: |
21 | import·matplotlib.pyplot·as·plt | 21 | import·matplotlib.pyplot·as·plt |
22 | The·following·cell·has·the·nbsphinx-thumbnail·tag: | 22 | The·following·cell·has·the·nbsphinx-thumbnail·tag: |
23 | [2]: | 23 | [2]: |
24 | fig,·ax·=·plt.subplots(figsize=[6,·3]) | 24 | fig,·ax·=·plt.subplots(figsize=[6,·3]) |
25 | ax.plot([4,·9,·7,·20,·6,·33,·13,·23,·16,·62,·8]) | 25 | ax.plot([4,·9,·7,·20,·6,·33,·13,·23,·16,·62,·8]) |
26 | [2]: | 26 | [2]: |
27 | [<matplotlib.lines.Line2D·at·0xffff | 27 | [<matplotlib.lines.Line2D·at·0xffff3e3706d0>] |
28 | [../_images/gallery_cell-tag_4_1.svg] | 28 | [../_images/gallery_cell-tag_4_1.svg] |
29 | ******·nbsphinx·****** | 29 | ******·nbsphinx·****** |
30 | ****·Navigation·**** | 30 | ****·Navigation·**** |
31 | ····*·Installation | 31 | ····*·Installation |
32 | ····*·Usage | 32 | ····*·Usage |
33 | ····*·Markdown_Cells | 33 | ····*·Markdown_Cells |
34 | ····*·Code_Cells | 34 | ····*·Code_Cells |
Offset 27, 18 lines modified | Offset 27, 18 lines modified | ||
27 | ············] | 27 | ············] |
28 | ········}, | 28 | ········}, |
29 | ········{ | 29 | ········{ |
30 | ············"cell_type":·"code", | 30 | ············"cell_type":·"code", |
31 | ············"execution_count":·1, | 31 | ············"execution_count":·1, |
32 | ············"metadata":·{ | 32 | ············"metadata":·{ |
33 | ················"execution":·{ | 33 | ················"execution":·{ |
34 | ····················"iopub.execute_input":·"2024-01-07T13:4 | 34 | ····················"iopub.execute_input":·"2024-01-07T13:46:14.390279Z", |
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38 | ················} | 38 | ················} |
39 | ············}, | 39 | ············}, |
40 | ············"outputs":·[], | 40 | ············"outputs":·[], |
41 | ············"source":·[ | 41 | ············"source":·[ |
42 | ················"import·matplotlib.pyplot·as·plt" | 42 | ················"import·matplotlib.pyplot·as·plt" |
43 | ············] | 43 | ············] |
44 | ········}, | 44 | ········}, |
Offset 50, 28 lines modified | Offset 50, 28 lines modified | ||
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55 | ············"metadata":·{ | 55 | ············"metadata":·{ |
56 | ················"execution":·{ | 56 | ················"execution":·{ |
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62 | ················"tags":·[ | 62 | ················"tags":·[ |
63 | ····················"nbsphinx-thumbnail" | 63 | ····················"nbsphinx-thumbnail" |
64 | ················] | 64 | ················] |
65 | ············}, | 65 | ············}, |
66 | ············"outputs":·[ | 66 | ············"outputs":·[ |
67 | ················{ | 67 | ················{ |
68 | ····················"data":·{ | 68 | ····················"data":·{ |
69 | ························"text/plain":·[ | 69 | ························"text/plain":·[ |
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75 | ····················"output_type":·"execute_result" | 75 | ····················"output_type":·"execute_result" |
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Offset 117, 20 lines modified | Offset 117, 20 lines modified | ||
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Offset 49, 50 lines modified | Offset 49, 50 lines modified | ||
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80 | ················"import·matplotlib.pyplot·as·plt" | 80 | ················"import·matplotlib.pyplot·as·plt" |
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96 | ················"fig,·ax·=·plt.subplots()\n", | 96 | ················"fig,·ax·=·plt.subplots()\n", |
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Offset 27, 18 lines modified | Offset 27, 18 lines modified | ||
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Offset 52, 18 lines modified | Offset 52, 18 lines modified | ||
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Offset 1095, 18 lines modified | Offset 1095, 18 lines modified | ||
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Offset 21, 18 lines modified | Offset 21, 18 lines modified | ||
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\n", | 37 | 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\n", |
38 | ························"text/plain":·[ | 38 | ························"text/plain":·[ |
Offset 1975, 15 lines modified | Offset 1975, 15 lines modified | ||
1975 | False | 1975 | False |
1976 | True | 1976 | True |
1977 | 4.3.7·YouTube·Videos | 1977 | 4.3.7·YouTube·Videos |
1978 | [31]:·from·IPython.display·import·YouTubeVideo | 1978 | [31]:·from·IPython.display·import·YouTubeVideo |
1979 | YouTubeVideo('9_OIs49m56E') | 1979 | YouTubeVideo('9_OIs49m56E') |
1980 | [31]:·<IPython.lib.display.YouTubeVideo·at·0xffff | 1980 | [31]:·<IPython.lib.display.YouTubeVideo·at·0xffff3c3e3990> |
1981 | 4.3.8·Interactive·Widgets·(HTML·only) | 1981 | 4.3.8·Interactive·Widgets·(HTML·only) |
1982 | The·basic·widget·infrastructure·is·provided·by·the·ipywidgets152·module.·More·advanced·widgets·are | 1982 | The·basic·widget·infrastructure·is·provided·by·the·ipywidgets152·module.·More·advanced·widgets·are |
1983 | available·in·separate·packages,·see·for·example·https://jupyter.org/widgets. | 1983 | available·in·separate·packages,·see·for·example·https://jupyter.org/widgets. |
1984 | The·JavaScript·code·which·is·needed·to·display·Jupyter·widgets·is·loaded·automatically·(using·RequireJS).·If·you·want·to·use·non-default·URLs·or·local·files,·you·can·use·the·nbsphinx_widgets_path | 1984 | The·JavaScript·code·which·is·needed·to·display·Jupyter·widgets·is·loaded·automatically·(using·RequireJS).·If·you·want·to·use·non-default·URLs·or·local·files,·you·can·use·the·nbsphinx_widgets_path |
1985 | (page·12)·and·nbsphinx_requirejs_path·(page·12)·settings. | 1985 | (page·12)·and·nbsphinx_requirejs_path·(page·12)·settings. |
1986 | Other·Languages | 1986 | Other·Languages |
Offset 2799, 15 lines modified | Offset 2799, 15 lines modified | ||
2799 | Metadata·to·Select·a·Thumbnail·(page·55). | 2799 | Metadata·to·Select·a·Thumbnail·(page·55). |
2800 | [1]:·import·matplotlib.pyplot·as·plt | 2800 | [1]:·import·matplotlib.pyplot·as·plt |
2801 | The·following·cell·has·the·nbsphinx-thumbnail·tag: | 2801 | The·following·cell·has·the·nbsphinx-thumbnail·tag: |
2802 | [2]:·fig,·ax·=·plt.subplots(figsize=[6,·3]) | 2802 | [2]:·fig,·ax·=·plt.subplots(figsize=[6,·3]) |
2803 | ax.plot([4,·9,·7,·20,·6,·33,·13,·23,·16,·62,·8]) | 2803 | ax.plot([4,·9,·7,·20,·6,·33,·13,·23,·16,·62,·8]) |
2804 | [2]:·[<matplotlib.lines.Line2D·at·0xffff5 | 2804 | [2]:·[<matplotlib.lines.Line2D·at·0xffff50e8f7d0>] |
2805 | 60 | 2805 | 60 |
2806 | 50 | 2806 | 50 |
2807 | 40 | 2807 | 40 |
2808 | 30 | 2808 | 30 |
2809 | 20 | 2809 | 20 |
2810 | 10 | 2810 | 10 |
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2852 | html: | 2852 | html: |
2853 | [3]:·x,·y·=·np.meshgrid(np.arange(-3,·3,·0.1),·np.arange(-2,·2,·0.1)) | 2853 | [3]:·x,·y·=·np.meshgrid(np.arange(-3,·3,·0.1),·np.arange(-2,·2,·0.1)) |
2854 | z·=·(1·-·x·/·2·+·x·**·5·+·y·**·3)·*·np.exp(-x·**·2·-·y·**·2) | 2854 | z·=·(1·-·x·/·2·+·x·**·5·+·y·**·3)·*·np.exp(-x·**·2·-·y·**·2) |
2855 | [4]:·zmax·=·np.max(np.abs(z)) | 2855 | [4]:·zmax·=·np.max(np.abs(z)) |
2856 | [5]:·fig,·ax·=·plt.subplots(figsize=[5,·3.5]) | 2856 | [5]:·fig,·ax·=·plt.subplots(figsize=[5,·3.5]) |
2857 | ax.imshow(z,·vmin=-zmax,·vmax=zmax) | 2857 | ax.imshow(z,·vmin=-zmax,·vmax=zmax) |
2858 | [5]:·<matplotlib.image.AxesImage·at·0xffff | 2858 | [5]:·<matplotlib.image.AxesImage·at·0xffff6736bcd0> |
2859 | 35 | 2859 | 35 |
2860 | 30 | 2860 | 30 |
2861 | 25 | 2861 | 25 |
2862 | 20 | 2862 | 20 |
2863 | 15 | 2863 | 15 |
2864 | 10 | 2864 | 10 |